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Amazon Q

Amazon Q is a family of AI assistants from AWS: Q Developer for building and operating software, Q Business for questions over company data, and assistants inside QuickSight, Connect and Supply Chain.

General assistantsCoding agentsData analysis

What it does

Amazon Q is the AI assistant brand from Amazon Web Services, offered as several products. Amazon Q Developer is aimed at people who build, run and modernize software on AWS. Amazon Q Business lets employees ask questions, solve problems and take actions using their own company's content and systems. Q also appears inside other AWS services. In QuickSight it helps analysts build dashboards and visualizations from natural-language requests. In Amazon Connect it detects customer issues in a conversation and suggests responses and actions to contact center agents. In AWS Supply Chain it answers questions about data in the supply chain data lake. The site says Amazon Q is built on Amazon Bedrock, uses several foundation models, and routes each task to the model it judges the best fit. It states that Q respects existing identities, roles and permissions, so a user cannot reach data through Q that they could not reach without it, and that data from Q Developer Pro and Q Business plans is not used to improve underlying models for others.

Capabilities

  • Q Developer for coding, testing, troubleshooting, security scanning and app modernization
  • Q Business answers questions from company content and can take actions
  • Connectors to common business tools such as Atlassian, Gmail, Salesforce, ServiceNow and Slack
  • Natural-language dashboard and visualization building in QuickSight
  • Suggested responses for contact center agents in Amazon Connect
  • Follows each user's existing identities, roles and permissions

When to use it

  • You want an assistant that helps with coding, testing, upgrades and troubleshooting on AWS
  • Your team needs answers drawn from internal wikis, intranets and business systems
  • Business analysts want to build BI dashboards with plain-language requests
  • Contact center agents need real-time suggested responses during customer conversations